Describing Data Part 1 Youtube Describe a data distribution (number of observations, median, range, mode, maximum and minimum).visit: iconmath to see all videos and a compl. This lesson corresponds to sections 2.1 2.3, and p.1 in the lock 5 textbook. recall from lesson 1 that variables can be classified as categorical or quantitative: categorical.
Describing Data Pt 1 Barnes Steven J Barnes Statistical Reasoning Compute and interpret complements, intersections, unions, and conditional probabilities given a two way table. identify outliers on a histogram or dotplot. interpret the shape of a distribution. compute and interpret the mean, median, mode, and standard deviation. compute and interpret percentiles and z scores. Descriptive comes from the word ‘describe’ and so it typically means to describe something. descriptive statistics is essentially describing the data through methods such as graphical representations, measures of central tendency and measures of variability. it summarizes the data in a meaningful way which enables us to generate insights. Types of descriptive statistics. there are 3 main types of descriptive statistics: the distribution concerns the frequency of each value. the central tendency concerns the averages of the values. the variability or dispersion concerns how spread out the values are. you can apply these to assess only one variable at a time, in univariate. Mean, median and mode. range and interquartile range. quartiles and percentiles. standard deviation and variance. note: descriptive statistics is often presented as a part of statistical analysis. descriptive statistics is also useful for guiding further analysis, giving insight into the data, and finding what is worth investigating more closely.
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